Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …

In this paper, we propose a new methodology for learning evolving fuzzy systems (EFS) from
data streams in terms of on-line regression/system identification problems. It comes with …

In this paper, we propose three criteria for efficient sample selection in case of data stream
regression problems within an online active learning context. The selection becomes …

This chapter provides an all-round picture of the development and advances in the fields of
evolving fuzzy systems (EFS) and evolving neuro-fuzzy systems (ENFS) which have been …

During the last 15 to 20 years, evolving (neuro-) fuzzy systems (E (N) FS) have enjoyed
more and more attraction in the context of data stream mining and modeling processes. This …

This chapter provides a round picture of the development and advances in the field of
evolving fuzzy systems (EFS) made during the last decade since their first appearance in …

This article describes a novel approach to the problem of developing explainable machine
learning models. We consider a deep reinforcement learning (DRL) model representing a …

This paper presents a novel adaptive Gravitational Search Algorithm (GSA) for the optimal
tuning of fuzzy controlled servo systems characterized by second-order models with an …

This paper presents a new framework for the symbolic representation of data which is
referred to as signatures. The definitions of signatures and of signature trees are first given …